3 ms·
That's basically what last.fm does, so that's doable and not too hard. As somebody with a formal training in ML, I'm not convinced by the quality of the results
by cpa 12y ago
That's basically what last.fm does, so that's doable and not too hard. As somebody with a formal training in ML, I'm not convinced by the quality of the results (as much as I'm not convinced but last.fm recommendations…) but it looks like there's a good business case to make.
- deleted 12y ago[deleted]
- mercurialshark 12y agoWell, it certainly would depend on the use case and the quality would be influenced by both the scoring threshold and extent/quality of training materials. Using large data sets, with a particularly difficult lowest sufficient score, could produce a small quantity of highly relevant and substantive content. If the purpose is to discover a handful of articles in a specific subcategory (ex. theoretical physics) that a user could confidently share to social media - then there is a significant utility to the service - not just a business case. What would this service have to offer for you to actually pay for it? Of course you could say you wouldn't pay for it, simply curious...